This job has expired.
Monk
Expired

Senior Full Stack Engineer Remote

£2.1/hourRemote

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Job Description

Monk Presentation

Monk provides visual expertise using Computer Vision and Deep Learning algorithms. Today, the algorithm is able to detect and classify damage on any vehicle with pictures taken by a smartphone. The company has raised €2.1M from Iris Capital in particular, and is already working with leading players such as Getaround, Porsche, Autobiz or Bosch.

We are incubated at Agoranov and Platform 58. In 2020, Monk won the X-Silicon Valley prize, was nominated in the TOP 30 of Station F and won the Coup de Coeur of the Finance-Innovation prize. The team is young and dynamic. Aboubakr (co-founder & CEO) is a Mines and Polytechnique engineer. Fayçal (co-founder & CTO) graduated from Centrale Supélec and worked at Thalès. Most of the team members come from the best French research laboratories and French engineering schools. In addition to this, Monk is coached by experts in their field such as Jérémie Jakubowicz who is an IA professor at Polytechnique, Raphael Bonaque (ENS, Phd Computer Science), Belhal Karimi (Phd Machine Learning, X) as well as Patrick Sayer, ex-CEO of Eurazeo.

About us

  • Les Echos : Comment Monk aide Getaround à automatiser l'identification des dommages aux véhicules
  • Les Echos Capital Finance : Monk.ai lève 2,1 M€ pour détecter les dommages des véhicules
  • From the school of Polytechnique Paris : Monk et Omini, lauréats de la bourse X-Grant Silicon Valley | Fondation
  • Station F : STATION F unveils TOP30 2020, its group featuring the most advanced startups of the campus
  • Plug & Play
  • Contrat

  • Full Time Contract (CDI)
  • Full Remote Possible
  • Competitive salary
  • Position to be filled : ASAP
  • Location : Remote
  • Missions

    You will join Monk's technical team with skills in Machine Learning, Deep Learning and Software Engineering alongside Fayçal (CTO and Co-founder).

    As Senior Fullstack Engineer at Monk, you will work on the following projects:

  • Participate in the development of the solution on the back-end part (Python) and on the front-end part (React JS).
  • Put our solution based on Deep Learning models into production at our customers' sites.
  • Implement convincing and usable user interfaces, contribute to their design (React), lead Webapp and mobile application projects and build tools in-house
  • Work closely with Data Scientists and UX designers to develop the best possible user experiences
  • Lead a team of 2 to 3 people internally and manage projects with external partners
  • Direct architectural decisions frontend and backend for new and existing infrastructures
  • Respect the rules of TDD (Test-Driven Development)
  • Technologies used

  • Databases: Postgres, Firebase (Firestore), S3
  • Infrastructure: AWS, GCP
  • Server-side: Python, Flask/FastAPI
  • Client-side: JS, TS, React
  • Preferred Experience

    Profile

    Prerequisites:

  • Minimum 2 years experience
  • Experience in frontend and backend development Front: React and Typescript mastering, bonus: DataViz libraries, image manipulation and annotations Back: Python, Node.js
  • Ability to accompany and lead the team of developers on projects
  • We are ideally looking for someone who loves detail, someone who is interested in going even further with our products in order to: 1/ to always offer the best possible experience2/ scaling as much as possible our technology
  • Soft Skills :

  • Team Spirit/Manager
  • Leadership
  • Pedagogy and communication
  • Rigor et organization
  • Bonus:

  • You have already worked on machine learning projects (+++)
  • You're a fan of the Monk series
  • Advantages

  • Mutual insurance paid 100% by Monk
  • Possibility to work remotely
  • Restaurant tickets with Swile
  • Competitive remuneration + BSPCE
  • Incubated at Agoranov and Platform 58: the ecosystem is top and super dynamic.
  • Hybrid work environment: possibility to be in full remote control
  • The team is young and ambitious (Profiles: X, CentraleSupélec, ESSEC, UTC) and accompanied by the IA references (professor at X in IA, PhD ENS etc.).
  • Recruitment Process

    Interviews process

  • Fit Interview
  • Technical interview
  • Founders interview
  • Other Amazon AWS contracts

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